Must Have:

• Experience working closely with other data scientists, data engineers software engineers, data managers and business partners.

• Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.

• Can carry out data analyses to yield actionable business insights.

• Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.

• Applied knowledge of data science tools and approaches across all data lifecycle stages.

• Thorough understanding of underlying mathematical foundations of statistics and machine learning.

• Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)

• Advanced SQL knowledge.

• Knowledge of experimental design and analysis.

• Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.